What problem does it solve? LLM-generated frontend code tends to look templated and generic, repeating the same AI-purple gradients, centered heroes, and default font choices. This Skill forces the agent to read the brief first, infer the right design direction, and ship interfaces that avoid recognizable AI slop patterns. ## Core Features & Use Cases - Brief Inference and Design Read: Analyzes page kind, vibe words, references, audience, and constraints before writing code, then declares a one-line design read. - Three-Dial Configuration: Tunes DESIGN_VARIANCE, MOTION_INTENSITY, and VISUAL_DENSITY based on the brief, with presets for SaaS landings, portfolios, editorial sites, and public-sector services. - Design System Mapping: Selects official packages (Fluent, Material, Carbon, Polaris, GOV.UK Frontend, shadcn/ui, Tailwind v4) when the brief matches a real system, and gives honest implementation guidance for aesthetics like glassmorphism, bento, and brutalism. - Pre-Flight Layout Rules: Enforces hard rules on hero sizing, eyebrow restraint, CTA contrast, palette locking, and layout-family diversity to catch broken design before shipping. - Use Case: Ask for a redesign of a premium cookware landing page and receive a React/Tailwind implementation with a deliberate non-default palette, real image assets, and a passed pre-flight audit. ## Quick Start Redesign my SaaS landing page so it looks like a deliberate Linear-style design instead of a generic AI template.
